dimensio
Multivariate Data Analysis
Simple Principal Components Analysis (PCA) and (Multiple) Correspondence Analysis (CA) based on the Singular Value Decomposition (SVD). This package provides S4 classes and methods to compute, extract, summarize and visualize results of multivariate data analysis. It also includes methods for partial bootstrap validation described in Greenacre (1984, ISBN: 978-0-12-299050-2) and Lebart et al. (2006, ISBN: 978-2-10-049616-7).
- Version0.10.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- dimensio citation info
- Last release11/08/2024
Documentation
Team
Nicolas Frerebeau
MaintainerShow author detailsBrice Lebrun
Université Bordeaux Montaigne
CNRS
Jean-Baptiste Fourvel
Insights
Last 30 days
This package has been downloaded 431 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 24 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 6,516 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Dec 11, 2024 with 83 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages
- Suggests6 packages
- Reverse Depends2 packages
- Reverse Imports1 package